Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
we offer? Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska
-
of Uppsala Biomedical Center and Sweden’s only Faculty of Pharmacy, we are a vital engine in the development of education and research in the pharmaceutical sciences. More information about the department and
-
and supervise students within relevant educational programmes at Linköping University. The work can include administrative tasks such as course development, being course coordinator or examiner. You
-
to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion
-
Faculty Office of Medicine Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high
-
users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation Management of datasets for FAIR compliance and
-
of Science are available at: Guidelines – Employment Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
-
-ranging expertise and interests. KI is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote better health for all. At KI, we
-
to develop his/her own successful line of research within data-driven precision medicine and diagnostics. Postdoctoral research conducted outside the university at which the applicant completed their PhD
-
system developers. The role combines direct involvement in analyses with coordinating a small team. You will drive multi-modal data integration across genetic, proteomic, and chemical datasets using